article Open AccessTop 1% cited
Low-rank plus sparse matrix decomposition for accelerated dynamic MRI with separation of background and dynamic components
Magnetic Resonance in Medicine · 2014 · Vol. 73(3) · pp. 1125–1136
Ricardo Otazo✉(New York University)Emmanuel J. Candès(Stanford University)Daniel K. Sodickson(New York University)
Abstract
The high acceleration and background separation enabled by L+S promises to enhance spatial and temporal resolution and to enable background suppression without the need of subtraction or modeling.
Advanced MRI Techniques and ApplicationsSparse and Compressive Sensing TechniquesUltrasound Imaging and ElastographyDynamic contrast-enhanced MRIBackground subtractionDynamic mode decompositionDynamic dataComputer scienceAccelerationHankel matrixDynamic imagingMatrix (chemical analysis)Singular value decomposition
MeSH terms
AlgorithmsData Interpretation, StatisticalHumansImage EnhancementImage Interpretation, Computer-AssistedNumerical Analysis, Computer-AssistedSensitivity and SpecificitySignal Processing, Computer-AssistedSubtraction TechniqueReproducibility of ResultsSample SizeMagnetic Resonance Imaging, Cine
Funding
- University of Michigan
- York University
- National Institutes of Health
Citations
701
FWCI
41.05
field-weighted impact
References
38
Percentile
100%
vs. same field & year
Citations per year
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